Tunnel reinforcement net positioning system and method based on artificial intelligence

Abstract

The application discloses a tunnel reinforcement net positioning system and method based on artificial intelligence, and particularly relates to the technical field of tunnel secondary lining construction, which uses a camera and a laser scanner to shoot and scan the completed reinforcement net to obtain relevant information of the reinforcement net, and carries out data cleaning on the scanning result, calculates the appearance basic parameter matching degree, the positioning point deviation degree and the reinforcement net deviation degree, sets a secondary lining reinforcement construction quality evaluation module to calculate the positioning precision coefficient from the positioning point deviation degree and the reinforcement net deviation degree, can directly obtain the positioning precision coefficient from the existing construction data after calculation, directly shows the positioning accuracy of the system, and calculates the secondary lining reinforcement construction quality index from the construction specification coefficient, the appearance basic parameter matching degree and the positioning precision coefficient, and directly shows the construction quality control ability of the system in the secondary lining reinforcement construction link.

Description

Technical Field

[0001] This invention relates to the field of tunnel secondary lining construction technology, and more specifically, to an artificial intelligence-based tunnel steel mesh positioning system and method. Background Technology

[0002] China has a vast territory with diverse terrains, and tunnels account for a large proportion of highway, railway, and water conservancy projects. The quality, progress, and safety management of tunnels have always been key areas of focus.

[0003] The existing tunnel steel mesh positioning system adds longitudinal and circumferential steel bar support rings to the original steel mesh positioning system, which increases the longitudinal stiffness and stability of the secondary lining, provides reinforcement and support, evenly distributes the load to all parts of the secondary lining structure, reduces local stress concentration, improves the seismic performance of the secondary lining, and most importantly, facilitates the placement of steel bar slots during steel bar binding, thus facilitating steel bar positioning.

[0004] However, the above system still has some problems: it only improves the accuracy of rebar positioning, but cannot guarantee the standardization of operation steps in actual construction, lacks a finished product inspection process after rebar construction, cannot directly obtain the positioning accuracy effect from actual data, and lacks data sources. Summary of the Invention

[0005] To overcome the aforementioned deficiencies of the prior art, embodiments of the present invention provide an artificial intelligence-based tunnel rebar mesh positioning system and method to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a tunnel rebar mesh positioning system based on artificial intelligence, comprising:

[0007] The secondary lining reinforcement construction BIM model retrieval module retrieves the BIM model of the reinforcement mesh distribution and construction operation instructions from the tunnel construction management center and extracts feature information.

[0008] The secondary lining reinforcement construction monitoring module divides the tunnel secondary lining construction project into areas according to the set construction length and monitors the compliance and non-compliance of the secondary lining reinforcement construction process in the sub-areas.

[0009] Construction specification coefficient calculation module: Calculates the construction specification coefficient based on the number of steps that are consistent with the operation steps required in the construction operation manual during the construction process of the sub-area;

[0010] Laser scanning module: Uses a camera and laser scanner to photograph and scan the completed steel mesh to obtain relevant information and send it to the laser scanning data cleaning module;

[0011] Laser scanning data cleaning module: integrates multiple sets of received data to obtain the final appearance basic parameter information identification results, spatial coordinates of positioning points and spatial coordinates of steel mesh outline points, and sends them to the secondary lining steel construction data comparison module;

[0012] The secondary lining reinforcement construction data comparison module compares the received cleaned laser scan data with the data extracted from the reinforcement mesh distribution BIM model and the feature extraction data in the construction operation guide, and calculates the matching degree of appearance foundation parameters, the deviation of positioning points, and the deviation of reinforcement mesh.

[0013] The secondary lining reinforcement construction quality assessment module calculates the positioning accuracy coefficient based on the deviation of the positioning point and the deviation of the reinforcement mesh, and calculates the secondary lining reinforcement construction quality index based on the construction specification coefficient, the matching degree of appearance and foundation parameters, and the positioning accuracy coefficient.

[0014] The secondary lining reinforcement construction quality index compliance judgment module compares the calculated secondary lining reinforcement construction quality index with the preset minimum secondary lining construction quality index to determine whether the calculated value meets the standard and outputs different instructions based on the compliance judgment result.

[0015] Database: Used to store data information for all modules in the system.

[0016] Preferably, the secondary lining reinforcement construction BIM model retrieval module includes a reinforcement mesh BIM model retrieval unit, a construction operation standard information retrieval unit, a feature information extraction unit, and a feature information output unit. The reinforcement mesh BIM model retrieval unit is used to retrieve the reinforcement mesh distribution BIM model of the secondary lining construction design; the construction operation standard information retrieval unit is used to retrieve the construction operation guide for the secondary lining construction; the feature information extraction unit extracts the expected spatial coordinates of the positioning points and the expected spatial coordinates of the reinforcement mesh outline points in the retrieved reinforcement mesh distribution BIM model, and extracts the reinforcement construction operation steps and basic parameter information of the reinforcement mesh required in the construction operation guide; the feature information output unit outputs the reinforcement construction operation steps required in the construction operation guide to the secondary lining reinforcement construction monitoring module, and sends the remaining extracted feature information to the secondary lining reinforcement construction data comparison module.

[0017] Preferably, the secondary lining reinforcement construction monitoring module includes a data receiving unit, a construction area division unit, an operation step comparison unit, an automatic construction data recording unit, and a data output unit. The data receiving unit receives the reinforcement construction operation steps required in the construction operation manual. The construction area division unit divides the target area into several sub-areas based on the preset tunnel construction length, numbering them sequentially from the construction start point to the end point as 1, 2, ..., j. The operation step comparison unit compares the secondary lining construction operation steps of sub-area j with the operation steps specified in the construction operation manual to determine if the operation steps violate regulations. The automatic construction data recording unit automatically records the number n of steps (n) in sub-area j that are consistent with the operation steps required in the construction operation manual. yj The number of steps n that are inconsistent with the operation steps xj The data output unit is used to output the number n of steps (n) in the construction process of sub-area j that are consistent with the operation steps required in the construction operation instructions. yj The number of steps n that are inconsistent with the operation steps xj To the construction specification coefficient calculation module.

[0018] Preferably, the construction specification coefficient calculation module includes a data receiving unit, a construction specification coefficient calculation unit, and a data output unit. The data receiving unit is used to receive the number n of steps in the construction process of sub-area j that are consistent with the operation steps required in the construction operation instructions. yj The number of steps n that are inconsistent with the operation steps xj The construction specification coefficient calculation unit calculates the construction specification coefficient G based on the received data. fj The specific calculation formula is as follows: , e is a natural constant; the data output unit is used to output the calculated construction specification coefficient to the comprehensive evaluation module for the construction quality of secondary lining reinforcement.

[0019] Preferably, the laser scanning module includes an appearance basic parameter information acquisition unit, a spatial coordinate information acquisition unit, and an information output unit. The appearance basic parameter information acquisition unit acquires the type, specifications, shape, size, quantity, spacing, and joint position of the steel bars used through a camera. The spatial coordinate information acquisition unit acquires the spatial coordinates of the positioning points and the spatial coordinates of the steel mesh outline points through a laser scanner. The information output unit sends the acquired information to the laser scanning data cleaning module.

[0020] Preferably, the secondary lining reinforcement construction data comparison module includes a data receiving unit, an appearance foundation parameter matching degree calculation unit, a positioning point deviation calculation unit, a reinforcement mesh deviation calculation unit, and a data output unit. The data receiving unit is used to receive the feature extraction information extracted from the secondary lining reinforcement construction BIM model retrieval module, excluding the reinforcement construction operation steps required in the construction operation manual, as well as the identification results of the cleaned appearance foundation parameter information and the spatial coordinates P of the positioning point. dai (x) dai ,y dai ,z dai And the spatial coordinates P of the steel mesh outline points. wai (x wai ,y wai ,z wai The appearance foundation parameter matching degree calculation unit compares the collected appearance foundation parameter information of the steel bars used with the appearance foundation parameter information of the steel bars used specified in the construction operation instruction, and counts the number of steel bar types a. x Specifications, types, and quantities (b) x , number of shapes x Size, type, quantity d x Dosage e x Spacing f x and the joint position g x At the same time, the quantity of steel bars conforming to the regulations is counted. y Specifications, types, and quantities (b) y , number of shapes y Size, type, quantity d y Dosage e y Spacing f y and the joint position g y Calculate the matching degree α of steel bar types respectively. a α, Rebar specification matching degree b α, Reinforcing bar shape matching degree c α, Reinforcing bar size matching degree d α, the degree of matching of the number of steel bars e α, Rebar Spacing Matching Degree f and the matching degree α of the rebar joint position g The specific calculation formula is as follows: , , , , , , Then, the matching degree α of the basic appearance parameters is calculated. wg The specific calculation formula is as follows: The positioning point deviation calculation unit calculates the spatial coordinates P of the cleaned positioning point.dai (x) dai ,y dai ,z dai ) and the expected spatial coordinates P of the positioning point in the BIM model of the steel mesh dei (x) dei ,y dei ,z dei ) Compare and calculate the deviation distance β of the positioning point di The specific calculation formula is as follows: The calculated positioning point deviation distance β di Deviation β from the preset positioning point dy By comparison, the number n of positioning points whose calculated deviation distance is greater than the preset positioning point deviation distance is selected. da Get the number of positioning points n de Calculate the deviation β of the positioning point. wd The specific calculation formula is as follows: The steel mesh deviation calculation unit calculates the spatial coordinates P of the cleaned steel mesh outline points. wai (x) wai ,y wai ,z wai ) and the expected spatial coordinates P of the steel mesh outline points wei (x) wei ,y wei ,z wei ) Compare and calculate the deviation distance β of the contour points li The specific calculation formula is as follows: The calculated deviation distance β of the contour points li Deviation β from preset contour point ly Compare and select the number n contour points whose calculated deviation distance is greater than the preset contour point deviation distance. la Get the number of contour points n le Calculate the deviation β of the reinforcing mesh. wl The specific calculation formula is as follows: The data output unit is used to send the calculated data to the comprehensive evaluation module for the construction quality of the secondary lining reinforcement.

[0021] Preferably, the secondary lining reinforcement construction quality assessment module includes a data receiving unit, a positioning accuracy coefficient calculation unit, a secondary lining reinforcement construction quality index calculation unit, and a data output unit. The data receiving unit is used to receive data information output by the secondary lining reinforcement construction data comparison module; the positioning accuracy coefficient calculation unit calculates the positioning accuracy coefficient J based on the calculated positioning point deviation and reinforcement mesh deviation. e The specific calculation formula is as follows: The secondary lining reinforcement construction quality index calculation unit is based on the construction specification coefficient G. fα, the degree of matching of basic appearance parameters wg and positioning accuracy coefficient J e Calculate the construction quality index R of secondary lining reinforcement z The specific calculation formula is as follows: , λ1, λ2, λ3 are constant coefficients, λ1>0, λ2>0, λ3>0, γ s The data output unit is used to send the calculated secondary lining reinforcement construction quality index to the secondary lining reinforcement construction quality index compliance judgment module.

[0022] Preferably, the secondary lining reinforcement construction quality index compliance determination module includes a data receiving unit, a compliance determination unit, and an instruction output unit. The data receiving unit is used to receive the calculated secondary lining reinforcement construction quality index. The compliance determination unit is used to compare the calculated secondary lining reinforcement construction quality index with a preset minimum secondary lining construction quality index. If the calculated value is greater than or equal to the preset value, the standard is met; if the calculated value is less than the preset value, the standard is not met. The instruction output unit outputs an instruction to start subsequent construction when the standard is met, and outputs an instruction to rework and adjust when the standard is not met.

[0023] To achieve the above objectives, the present invention provides the following technical solution: a method for locating tunnel rebar mesh based on artificial intelligence, comprising the following steps:

[0024] S1: Retrieve the BIM model of the steel mesh distribution and the construction operation instructions for the secondary lining construction design of the tunnel from the tunnel construction management center, and extract the expected spatial coordinates of the positioning points, the expected spatial coordinates of the steel mesh outline points, the steel mesh construction operation steps, and the basic parameter information of the steel mesh.

[0025] S2: Divide the tunnel secondary lining construction project into areas according to the set construction length and monitor the compliance and non-compliance of the secondary lining reinforcement construction process in the sub-areas.

[0026] S3: Calculate the construction specification coefficient based on the number of steps that are consistent with the operation steps required in the construction operation manual during the construction of the sub-region and the number of steps that are inconsistent with the operation steps;

[0027] S4: Use a camera and laser scanner to photograph and scan the completed steel mesh to obtain relevant information about the steel mesh and send it to the laser scanning data cleaning module;

[0028] S5: Integrate the received data from multiple sets to obtain the final identification results of the basic appearance parameters, spatial coordinates of the positioning points, and spatial coordinates of the steel mesh outline points.

[0029] S6: Compare the received cleaned laser scan data with the data extracted from the BIM model of the steel mesh distribution and the feature extraction data in the construction operation guide, and calculate the matching degree of the appearance foundation parameters, the deviation of the positioning point, and the deviation of the steel mesh.

[0030] S7: The positioning accuracy coefficient is calculated from the deviation of the positioning point and the deviation of the steel mesh, and the construction quality index of the secondary lining steel reinforcement is calculated from the construction specification coefficient, the matching degree of the appearance foundation parameters and the positioning accuracy coefficient.

[0031] S8: Compare the calculated secondary lining reinforcement construction quality index with the preset minimum secondary lining construction quality index to determine whether the calculated value meets the standard, and output different instructions based on the standard determination result.

[0032] The technical effects and advantages of this invention are as follows:

[0033] 1. This invention sets up a secondary lining reinforcement construction monitoring module to divide the tunnel secondary lining construction project into areas according to the set construction length and monitor the compliance and violation of the secondary lining reinforcement construction process in the sub-areas. The tunnel construction management center can train construction personnel based on the violation of the construction personnel, standardize the construction operation process, and establish a reward and punishment mechanism based on the violation of the construction personnel, thereby improving the construction quality of the secondary lining reinforcement.

[0034] 2. This invention includes a laser scanning module, a laser scanning data cleaning module, a secondary lining reinforcement construction data comparison module, and a secondary lining reinforcement construction quality assessment module. It utilizes a camera and laser scanner to photograph and scan the completed reinforcement mesh to obtain relevant information. Multiple sets of received data are integrated to obtain the final appearance foundation parameter information identification results, spatial coordinates of positioning points, and spatial coordinates of reinforcement mesh outline points. The cleaned laser scanning data is compared with the feature-extracted data from the reinforcement mesh distribution BIM model and construction operation instructions to calculate the appearance foundation parameter matching degree, positioning point deviation, and reinforcement mesh deviation. The positioning accuracy coefficient is calculated from the positioning point deviation and reinforcement mesh deviation, providing data support for the calculation of the positioning accuracy coefficient. The positioning accuracy coefficient can be directly obtained from existing construction data after calculation, intuitively demonstrating the positioning accuracy of this system. Simultaneously, the secondary lining reinforcement construction quality index is calculated from the construction specification coefficient, appearance foundation parameter matching degree, and positioning accuracy coefficient, intuitively demonstrating the system's construction quality control capability in the secondary lining reinforcement construction stage, which is beneficial to improving the accuracy of the secondary lining reinforcement construction quality index calculation. Attached Figure Description

[0035] Figure 1 This is a system structure block diagram of the present invention.

[0036] Figure 2 This is a diagram illustrating the method steps of the present invention.

[0037] Figure 3 This invention provides a structural diagram of a tunnel reinforcement mesh construction vehicle. Detailed Implementation

[0038] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0039] like Figure 1 This embodiment provides an artificial intelligence-based tunnel reinforcement mesh positioning system, including a secondary lining reinforcement construction BIM model retrieval module, a secondary lining reinforcement construction monitoring module, a construction specification coefficient calculation module, a laser scanning module, a laser scanning data cleaning module, a secondary lining reinforcement construction data comparison module, a secondary lining reinforcement construction quality assessment module, a secondary lining reinforcement construction quality index compliance determination module, and a database. The secondary lining reinforcement construction BIM model retrieval module is connected to the secondary lining reinforcement construction monitoring module and the secondary lining reinforcement construction data comparison module. The secondary lining reinforcement construction monitoring module, the construction specification coefficient calculation module, and the secondary lining reinforcement construction quality comprehensive assessment module are sequentially connected. The laser scanning module, the laser scanning data cleaning module, the secondary lining reinforcement construction data comparison module, and the secondary lining reinforcement construction quality assessment module are sequentially connected. The secondary lining reinforcement construction quality assessment module is connected to the secondary lining reinforcement construction quality index compliance determination module. All modules in the system are connected to the database.

[0040] The secondary lining reinforcement construction BIM model retrieval module retrieves the reinforcement mesh distribution BIM model and construction operation instructions from the tunnel construction management center and extracts feature information.

[0041] Furthermore, the secondary lining reinforcement construction BIM model retrieval module includes a reinforcement mesh BIM model retrieval unit, a construction operation standard information retrieval unit, a feature information extraction unit, and a feature information output unit. The reinforcement mesh BIM model retrieval unit is used to retrieve the reinforcement mesh distribution BIM model of the secondary lining construction design; the construction operation standard information retrieval unit is used to retrieve the construction operation guide for the secondary lining construction; the feature information extraction unit extracts the expected spatial coordinates of the positioning points and the expected spatial coordinates of the reinforcement mesh outline points in the retrieved reinforcement mesh distribution BIM model, and extracts the reinforcement construction operation steps and basic parameter information of the reinforcement mesh required in the construction operation guide; the feature information output unit outputs the reinforcement construction operation steps required in the construction operation guide to the secondary lining reinforcement construction monitoring module, and sends the remaining extracted feature information to the secondary lining reinforcement construction data comparison module.

[0042] The secondary lining reinforcement construction monitoring module divides the tunnel secondary lining construction project into areas according to the set construction length and monitors the compliance and non-compliance of the secondary lining reinforcement construction process in the sub-areas.

[0043] Furthermore, the secondary lining reinforcement construction monitoring module includes a data receiving unit, a construction area division unit, an operation step comparison unit, an automatic construction data recording unit, and a data output unit. The data receiving unit receives the reinforcement construction operation steps required in the construction operation manual. The construction area division unit defines the total tunnel construction length as the target area and divides it into several sub-areas based on the preset tunnel construction length, numbering them sequentially from the construction start point to the end point as 1, 2, ..., j. The operation step comparison unit compares the secondary lining construction operation steps of sub-area j with the operation steps specified in the construction operation manual to determine if the operation steps violate regulations. The automatic construction data recording unit automatically records the number n of steps in sub-area j that are consistent with the operation steps required in the construction operation manual. yj The number of steps n that are inconsistent with the operation steps xj The data output unit is used to output the number n of steps (n) in the construction process of sub-area j that are consistent with the operation steps required in the construction operation instructions. yj The number of steps n that are inconsistent with the operation steps xj To the construction specification coefficient calculation module.

[0044] The construction specification coefficient calculation module calculates the construction specification coefficient based on the number of steps that are consistent with the operation steps required in the construction operation manual during the sub-region construction process and the number of steps that are inconsistent with the operation steps.

[0045] Furthermore, the construction specification coefficient calculation module includes a data receiving unit, a construction specification coefficient calculation unit, and a data output unit. The data receiving unit is used to receive the number n of steps in the construction process of sub-area j that are consistent with the operation steps required in the construction operation instructions. yj The number of steps n that are inconsistent with the operation steps xj The construction specification coefficient calculation unit calculates the construction specification coefficient G based on the received data. fj The specific calculation formula is as follows: , e is a natural constant; the data output unit is used to output the calculated construction specification coefficient to the comprehensive evaluation module for the construction quality of secondary lining reinforcement.

[0046] The laser scanning module uses a camera and a laser scanner to photograph and scan the completed steel mesh to obtain relevant information about the steel mesh, which is then sent to the laser scanning data cleaning module.

[0047] Furthermore, the laser scanning module includes an appearance basic parameter information acquisition unit, a spatial coordinate information acquisition unit, and an information output unit. The appearance basic parameter information acquisition unit acquires the type, specifications, shape, size, quantity, spacing, and joint position of the steel bars used through a camera. The spatial coordinate information acquisition unit acquires the spatial coordinates of the positioning points and the spatial coordinates of the steel mesh outline points through a laser scanner. The information output unit sends the acquired information to the laser scanning data cleaning module.

[0048] The laser scanning data cleaning module integrates the received data to obtain the final appearance basic parameter information identification result, the spatial coordinates of the positioning point, and the spatial coordinates of the steel mesh outline point, and sends them to the secondary lining steel construction data comparison module.

[0049] The secondary lining reinforcement construction data comparison module compares the received cleaned laser scan data with the data extracted from the reinforcement mesh distribution BIM model and the construction operation guide, and calculates the matching degree of appearance foundation parameters, the deviation of positioning points, and the deviation of reinforcement mesh.

[0050] Furthermore, the secondary lining reinforcement construction data comparison module includes a data receiving unit, an appearance foundation parameter matching degree calculation unit, a positioning point deviation calculation unit, a reinforcement mesh deviation calculation unit, and a data output unit. The data receiving unit is used to receive the feature extraction information extracted from the secondary lining reinforcement construction BIM model retrieval module, excluding the reinforcement construction operation steps required in the construction operation guide, as well as the identification results of the cleaned appearance foundation parameter information and the spatial coordinates P of the positioning point. dai (x) dai ,y dai ,z daiAnd the spatial coordinates P of the steel mesh outline points. wai (x wai ,y wai ,z wai The appearance foundation parameter matching degree calculation unit compares the collected appearance foundation parameter information of the steel bars used with the appearance foundation parameter information of the steel bars used specified in the construction operation instruction, and counts the number of steel bar types a. x Specifications, types, and quantities (b) x , number of shapes x Size, type, quantity d x Dosage e x Spacing f x and the joint position g x At the same time, the quantity of steel bars conforming to the regulations is counted. y Specifications, types, and quantities (b) y , number of shapes y Size, type, quantity d y Dosage e y Spacing f y and the joint position g y Calculate the matching degree α of steel bar types respectively. a α, Rebar specification matching degree b α, Reinforcing bar shape matching degree c α, Reinforcing bar size matching degree d α, the degree of matching of the number of steel bars e α, Rebar spacing matching degree f and the matching degree α of the rebar joint position g The specific calculation formula is as follows: , , , , , , Then, the matching degree α of the basic appearance parameters is calculated. wg The specific calculation formula is as follows: The positioning point deviation calculation unit calculates the spatial coordinates P of the cleaned positioning point. dai (x) dai ,y dai ,z dai ) and the expected spatial coordinates P of the positioning point in the BIM model of the steel mesh dei (x) dei ,y dei ,z dei ) Compare and calculate the deviation distance β of the positioning point di The specific calculation formula is as follows: The calculated positioning point deviation distance β di Deviation β from the preset positioning pointdy By comparison, the number n of positioning points whose calculated deviation distance is greater than the preset positioning point deviation distance is selected. da Get the number of positioning points n de Calculate the deviation β of the positioning point. wd The specific calculation formula is as follows: The steel mesh deviation calculation unit calculates the spatial coordinates P of the cleaned steel mesh outline points. wai (x) wai ,y wai ,z wai ) and the expected spatial coordinates P of the steel mesh outline points wei (x) wei ,y wei ,z wei ) Compare and calculate the deviation distance β of the contour points li The specific calculation formula is as follows: The calculated deviation distance β of the contour points li Deviation β from preset contour point ly Compare and select the number n contour points whose calculated deviation distance is greater than the preset contour point deviation distance. la Get the number of contour points n le Calculate the deviation β of the reinforcing mesh. wl The specific calculation formula is as follows: The data output unit is used to send the calculated data to the comprehensive evaluation module for the construction quality of the secondary lining reinforcement.

[0051] The secondary lining reinforcement construction quality assessment module calculates the positioning accuracy coefficient based on the positioning point deviation and the reinforcement mesh deviation, and calculates the secondary lining reinforcement construction quality index based on the construction specification coefficient, the matching degree of appearance and foundation parameters, and the positioning accuracy coefficient.

[0052] Furthermore, the secondary lining reinforcement construction quality assessment module includes a data receiving unit, a positioning accuracy coefficient calculation unit, a secondary lining reinforcement construction quality index calculation unit, and a data output unit. The data receiving unit is used to receive data information output by the secondary lining reinforcement construction data comparison module; the positioning accuracy coefficient calculation unit calculates the positioning accuracy coefficient J based on the calculated positioning point deviation and reinforcement mesh deviation. e The specific calculation formula is as follows: The secondary lining reinforcement construction quality index calculation unit is based on the construction specification coefficient G. f α, the degree of matching of basic appearance parameters wg and positioning accuracy coefficient J e Calculate the construction quality index R of secondary lining reinforcement z The specific calculation formula is as follows: , λ1, λ2, λ3 are constant coefficients, λ1>0, λ2>0, λ3>0, γs The data output unit is used to send the calculated secondary lining reinforcement construction quality index to the secondary lining reinforcement construction quality index compliance judgment module.

[0053] Specifically, this embodiment provides a reinforcement mesh distribution influence coefficient γ. s The calculation method includes the following steps:

[0054] A1. Obtain the outline area of ​​the reinforcing mesh within the construction sub-area. Lx Steel reinforcement usage e x and the construction sub-area area A m ;

[0055] A2. Calculate the distribution density ρ of the reinforcing mesh. wa and steel mesh coverage F wa The specific calculation formula is as follows: , ;

[0056] A3. Obtain the expected steel mesh distribution density ρ within the construction sub-area. wy And the expected steel mesh coverage F wy ;

[0057] A4. Calculate the matching degree γ of the steel mesh distribution density. ρ Matching degree γ with steel mesh coverage F The specific calculation formula is as follows: , ;

[0058] A5. Based on the matching degree of steel mesh distribution density γ ρ Matching degree γ with steel mesh coverage F Calculate the influence coefficient γ of steel mesh distribution s The specific calculation formula is as follows: .

[0059] The secondary lining reinforcement construction quality index compliance judgment module compares the calculated secondary lining reinforcement construction quality index with the preset minimum secondary lining construction quality index to determine whether the calculated value meets the standard and outputs different instructions based on the compliance judgment result.

[0060] Furthermore, the secondary lining reinforcement construction quality index compliance determination module includes a data receiving unit, a compliance determination unit, and an instruction output unit. The data receiving unit is used to receive the calculated secondary lining reinforcement construction quality index; the compliance determination unit is used to compare the calculated secondary lining reinforcement construction quality index with a preset minimum secondary lining construction quality index. If the calculated value is greater than or equal to the preset value, the standard is met; if the calculated value is less than the preset value, the standard is not met; the instruction output unit outputs an instruction to start subsequent construction when the standard is met, and outputs an instruction to rework and adjust when the standard is not met.

[0061] The database is used to store data information for all modules in the system.

[0062] like Figure 2 The embodiment shown provides an artificial intelligence-based method for locating tunnel reinforcement mesh, including the following steps:

[0063] S1: Retrieve the BIM model of the steel mesh distribution and the construction operation instructions for the secondary lining construction design of the tunnel from the tunnel construction management center, and extract the expected spatial coordinates of the positioning points, the expected spatial coordinates of the steel mesh outline points, the steel mesh construction operation steps, and the basic parameter information of the steel mesh.

[0064] S2: Divide the tunnel secondary lining construction project into areas according to the set construction length and monitor the compliance and non-compliance of the secondary lining reinforcement construction process in the sub-areas.

[0065] S3: Calculate the construction specification coefficient based on the number of steps that are consistent with the operation steps required in the construction operation manual during the construction of the sub-region and the number of steps that are inconsistent with the operation steps;

[0066] S4: Use a camera and laser scanner to photograph and scan the completed steel mesh to obtain relevant information about the steel mesh and send it to the laser scanning data cleaning module;

[0067] S5: Integrate the received data from multiple sets to obtain the final identification results of the basic appearance parameters, spatial coordinates of the positioning points, and spatial coordinates of the steel mesh outline points.

[0068] S6: Compare the received cleaned laser scan data with the data extracted from the BIM model of the steel mesh distribution and the feature extraction data in the construction operation guide, and calculate the matching degree of the appearance foundation parameters, the deviation of the positioning point, and the deviation of the steel mesh.

[0069] S7: The positioning accuracy coefficient is calculated from the deviation of the positioning point and the deviation of the steel mesh, and the construction quality index of the secondary lining steel reinforcement is calculated from the construction specification coefficient, the matching degree of the appearance foundation parameters and the positioning accuracy coefficient.

[0070] S8: Compare the calculated secondary lining reinforcement construction quality index with the preset minimum secondary lining construction quality index to determine whether the calculated value meets the standard, and output different instructions based on the standard determination result.

[0071] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A tunnel rebar mesh positioning system based on artificial intelligence, characterized in that: include: The secondary lining reinforcement construction BIM model retrieval module retrieves the BIM model of the reinforcement mesh distribution and construction operation instructions from the tunnel construction management center and extracts feature information. The secondary lining reinforcement construction BIM model retrieval module includes a reinforcement mesh BIM model retrieval unit, a construction operation standard information retrieval unit, a feature information extraction unit, and a feature information output unit. The reinforcement mesh BIM model retrieval unit is used to retrieve the reinforcement mesh distribution BIM model of the secondary lining construction design; the construction operation standard information retrieval unit is used to retrieve the construction operation guide for the secondary lining construction; the feature information extraction unit extracts the expected spatial coordinates of the positioning points and the expected spatial coordinates of the reinforcement mesh outline points in the retrieved reinforcement mesh distribution BIM model, and extracts the reinforcement construction operation steps and basic parameter information of the reinforcement mesh required in the construction operation guide; the feature information output unit outputs the reinforcement construction operation steps required in the construction operation guide to the secondary lining reinforcement construction monitoring module, and sends the remaining extracted feature information to the secondary lining reinforcement construction data comparison module. The secondary lining reinforcement construction monitoring module divides the tunnel secondary lining construction project into areas according to the set construction length and monitors the compliance and non-compliance of the secondary lining reinforcement construction process in the sub-areas. Construction specification coefficient calculation module: Calculates the construction specification coefficient based on the number of steps that are consistent with the operation steps required in the construction operation manual during the construction process of the sub-area; Laser scanning module: Uses a camera and laser scanner to photograph and scan the completed steel mesh to obtain relevant information and send it to the laser scanning data cleaning module; Laser scanning data cleaning module: integrates multiple sets of received data to obtain the final appearance basic parameter information identification results, spatial coordinates of positioning points and spatial coordinates of steel mesh outline points, and sends them to the secondary lining steel construction data comparison module; The secondary lining reinforcement construction data comparison module compares the received cleaned laser scan data with the data extracted from the reinforcement mesh distribution BIM model and the feature extraction data in the construction operation guide, and calculates the matching degree of appearance foundation parameters, the deviation of positioning points, and the deviation of reinforcement mesh. The secondary lining reinforcement construction quality assessment module calculates the positioning accuracy coefficient based on the deviation of the positioning point and the deviation of the reinforcement mesh, and calculates the secondary lining reinforcement construction quality index based on the construction specification coefficient, the matching degree of appearance and foundation parameters, and the positioning accuracy coefficient. The secondary lining reinforcement construction quality assessment module includes a data receiving unit, a positioning accuracy coefficient calculation unit, a secondary lining reinforcement construction quality index calculation unit, and a data output unit. The data receiving unit receives data information output by the secondary lining reinforcement construction data comparison module. The positioning accuracy coefficient calculation unit calculates the positioning accuracy coefficient J based on the calculated positioning point deviation and reinforcement mesh deviation. e The specific calculation formula is as follows: ,β wd The formula for calculating the deviation of the positioning point is: , where β di β represents the offset distance from the positioning point. dy n is the offset distance from the preset positioning point. da n represents the number of positioning points whose deviation distance is greater than the preset positioning point deviation distance. de β represents the number of positioning points. wl The formula for calculating the deviation of the reinforcing mesh is: , where β li β represents the offset distance of the contour points. ly n is the preset offset distance of the contour points. la n is the number of contour points whose deviation distance is greater than a preset contour point deviation distance. la n le The number of contour points; the secondary lining reinforcement construction quality index calculation unit is based on the construction specification coefficient G. f α, the degree of matching of basic appearance parameters wg and positioning accuracy coefficient J e Calculate the construction quality index R of secondary lining reinforcement z The specific calculation formula is as follows: , λ1, λ2, λ3 are constant coefficients, λ1>0, λ2>0, λ3>0, γ s The coefficient representing the influence of steel mesh distribution is G; the construction specification coefficient is G. f The calculation formula is: , where n yj n is the number of steps in the construction process of sub-area j that are consistent with the operating procedures required in the construction operation manual. xj This refers to the number of steps in the construction process of sub-region j that are inconsistent with the operational steps required in the construction operation manual, where e is a natural constant; the matching degree α of the appearance foundation parameters. wg The calculation formula is: , where α a For the matching degree of steel bar types, α b For the matching degree of steel bar specifications, α c For the shape matching degree of the reinforcing bars, α d For the matching degree of steel reinforcement size, α e For the matching degree of the number of steel bars, α f For the matching degree of rebar spacing, and α g The data output unit is used to send the calculated secondary lining reinforcement construction quality index to the secondary lining reinforcement construction quality index compliance judgment module; The secondary lining reinforcement construction quality index compliance judgment module compares the calculated secondary lining reinforcement construction quality index with the preset minimum secondary lining construction quality index to determine whether the calculated value meets the standard and outputs different instructions based on the compliance judgment result.

2. The tunnel reinforcement mesh positioning system based on artificial intelligence according to claim 1, characterized in that: The secondary lining reinforcement construction monitoring module includes a data receiving unit, a construction area division unit, an operation step comparison unit, an automatic construction data recording unit, and a data output unit. The data receiving unit receives the reinforcement construction operation steps required in the construction operation manual. The construction area division unit divides the target area into several sub-areas based on the preset tunnel construction length, numbering them 1, 2, ..., j sequentially from the construction start point to the end point. The operation step comparison unit compares the operation steps of the secondary lining construction process in sub-area j with the operation steps specified in the construction operation manual to determine if the operation steps violate regulations. The automatic construction data recording unit automatically records the number n of steps (n) in sub-area j that are consistent with the operation steps required in the construction operation manual. yj The number of steps n that are inconsistent with the operation steps xj The data output unit is used to output the number n of steps (n) in the construction process of sub-area j that are consistent with the operation steps required in the construction operation instructions. yj The number of steps n that are inconsistent with the operation steps xj To the construction specification coefficient calculation module.

3. The tunnel reinforcement mesh positioning system based on artificial intelligence according to claim 1, characterized in that: The laser scanning module includes an appearance basic parameter information acquisition unit, a spatial coordinate information acquisition unit, and an information output unit. The appearance basic parameter information acquisition unit acquires the type, specifications, shape, size, quantity, spacing, and joint position of the steel bars used through a camera. The spatial coordinate information acquisition unit acquires the spatial coordinates of the positioning points and the spatial coordinates of the steel mesh outline points through a laser scanner. The information output unit sends the acquired information to the laser scanning data cleaning module.

4. The tunnel reinforcement mesh positioning system based on artificial intelligence according to claim 1, characterized in that: The secondary lining reinforcement construction data comparison module includes a data receiving unit, an appearance foundation parameter matching degree calculation unit, a positioning point deviation calculation unit, a reinforcement mesh deviation calculation unit, and a data output unit. The data receiving unit is used to receive the feature extraction information extracted from the secondary lining reinforcement construction BIM model retrieval module, excluding the reinforcement construction operation steps required in the construction operation guide, as well as the identification results of the cleaned appearance foundation parameter information and the spatial coordinates P of the positioning point. dai (x) dai ,y dai ,z dai And the spatial coordinates P of the steel mesh outline points. wai (x wai ,y wai ,z wai The appearance foundation parameter matching degree calculation unit compares the collected appearance foundation parameter information of the steel bars used with the appearance foundation parameter information of the steel bars used specified in the construction operation instruction, and counts the number of steel bar types a. x Specifications, types, and quantities (b) x , number of shapes x Size, type, quantity d x Dosage e x Spacing f x and the joint position g x At the same time, the quantity of steel bars conforming to the regulations is counted. y Specifications, types, and quantities (b) y , number of shapes y Size, type, quantity d y Dosage e y Spacing f y and the joint position g y Calculate the matching degree α of steel bar types respectively. a α, Rebar specification matching degree b α, Reinforcing bar shape matching degree c α, Reinforcing bar size matching degree d α, the degree of matching of the number of steel bars e α, Rebar Spacing Matching Degree f and the matching degree α of the rebar joint position g The specific calculation formula is as follows: , , , , , , Then, the matching degree α of the basic appearance parameters is calculated. wg The specific calculation formula is as follows: The positioning point deviation calculation unit calculates the spatial coordinates P of the cleaned positioning point. dai (x) dai ,y dai ,z dai ) and the expected spatial coordinates P of the positioning point in the BIM model of the steel mesh dei (x) dei ,y dei ,z dei ) Compare and calculate the deviation distance β of the positioning point di The specific calculation formula is as follows: The calculated positioning point deviation distance β di Deviation β from the preset positioning point dy By comparison, the number n of positioning points whose calculated deviation distance is greater than the preset positioning point deviation distance is selected. da Get the number of positioning points n de Calculate the deviation β of the positioning point. wd The specific calculation formula is as follows: The steel mesh deviation calculation unit calculates the spatial coordinates P of the cleaned steel mesh outline points. wai (x) wai ,y wai ,z wai ) and the expected spatial coordinates P of the steel mesh outline points wei (x) wei ,y wei ,z wei ) Compare and calculate the deviation distance β of the contour points li The specific calculation formula is as follows: The calculated deviation distance β of the contour points li Deviation β from preset contour point ly Compare and select the number n contour points whose calculated deviation distance is greater than the preset contour point deviation distance. la Get the number of contour points n le Calculate the deviation β of the reinforcing mesh. wl The specific calculation formula is as follows: The data output unit is used to send the calculated data to the comprehensive evaluation module for the construction quality of the secondary lining reinforcement.

5. The tunnel reinforcement mesh positioning system based on artificial intelligence according to claim 1, characterized in that: The secondary lining reinforcement construction quality index compliance determination module includes a data receiving unit, a compliance determination unit, and an instruction output unit. The data receiving unit is used to receive the calculated secondary lining reinforcement construction quality index. The compliance determination unit is used to compare the calculated secondary lining reinforcement construction quality index with the preset minimum secondary lining construction quality index. If the calculated value is greater than or equal to the preset value, the standard is met; if the calculated value is less than the preset value, the standard is not met. The instruction output unit outputs an instruction to start subsequent construction when the standard is met, and outputs an instruction to rework and adjust when the standard is not met.

6. A method for locating tunnel rebar mesh based on artificial intelligence, using an artificial intelligence-based tunnel rebar mesh positioning system as described in any one of claims 1-5, characterized in that: Includes the following steps: S1: Retrieve the BIM model of the steel mesh distribution and the construction operation instructions for the secondary lining construction design of the tunnel from the tunnel construction management center, and extract the expected spatial coordinates of the positioning points, the expected spatial coordinates of the steel mesh outline points, the steel mesh construction operation steps, and the basic parameter information of the steel mesh. S2: Divide the tunnel secondary lining construction project into areas according to the set construction length and monitor the compliance and non-compliance of the secondary lining reinforcement construction process in the sub-areas. S3: Calculate the construction specification coefficient based on the number of steps that are consistent with the operation steps required in the construction operation manual during the construction of the sub-region and the number of steps that are inconsistent with the operation steps; S4: Use a camera and laser scanner to photograph and scan the completed steel mesh to obtain relevant information about the steel mesh and send it to the laser scanning data cleaning module; S5: Integrate the received data from multiple sets to obtain the final identification results of the basic appearance parameters, spatial coordinates of the positioning points, and spatial coordinates of the steel mesh outline points. S6: Compare the received cleaned laser scan data with the data extracted from the BIM model of the steel mesh distribution and the feature extraction data in the construction operation guide, and calculate the matching degree of the appearance foundation parameters, the deviation of the positioning point, and the deviation of the steel mesh. S7: The positioning accuracy coefficient is calculated from the deviation of the positioning point and the deviation of the steel mesh, and the construction quality index of the secondary lining steel reinforcement is calculated from the construction specification coefficient, the matching degree of the appearance foundation parameters and the positioning accuracy coefficient. S8: Compare the calculated secondary lining reinforcement construction quality index with the preset minimum secondary lining construction quality index to determine whether the calculated value meets the standard, and output different instructions based on the standard determination result.

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